Cloud operations and observability

Cloud operations is the daily work of keeping systems running once they are live: watching their health, responding when they fail, applying changes safely and improving whatever keeps going wrong. Observability is the property that makes this possible, the degree to which a system's inner state can be worked out from what it emits. The CNCF landscape guide files observability in a column that runs beside every layer instead of inside one, a fair picture of the job: operations touches everything and owns little of it.

Three kinds of telemetry

1. Metrics: numbers sampled over time, such as latency, error rate, processor load or queue depth. Cheap to keep and well suited to alerts and trends.
2. Logs: timestamped records of individual events. Rich in detail, costly at volume, and useful only when structured enough to search.
3. Traces: the path of a single request across services, showing where its time went. Indispensable once one user action touches ten components.

Cloud-native systems make this harder than traditional monitoring because their parts are short-lived: a container or function may exist for minutes, so data has to carry enough labels to make sense after its source has gone. The guide names OpenTelemetry and Prometheus as projects built with that model in mind. The providers' own services sit alongside them, for instance Azure Monitor with Log Analytics, alerts and Application Insights, which AZ-900 lists among its monitoring tools, and commercial platforms such as Splunk collect and search the same data across estates.

Alerts, incidents and reliability

Telemetry pays off only when it leads to action. Sound alerting pages a person for symptoms users would notice, such as failed checkouts or a load balancer reporting unhealthy targets, and leaves everything else on dashboards. When an alert does turn into an outage, incident management supplies the routine: a named lead, one channel, updates at set intervals and a blameless review afterwards. The promise the team defends is usually an availability commitment such as an uptime SLA, plus stricter internal targets. The Well-Architected operational excellence pillar describes the same loop, running and watching systems while refining the procedures around them, with automated changes, event response and shared standards as its themes. The CNCF guide adds chaos engineering, deliberately injecting faults to rehearse recovery, and frames it as a choice to optimise for fast repair rather than for never failing.

The beginner's mistake is to collect everything and alert on most of it. Within weeks the team ignores its own pager, and log storage has become a visible line on the invoice. Start from the questions you will need answered during an outage and instrument for those. Credentials follow the practical line: AZ-104 has a domain on monitoring and maintaining Azure resources, Microsoft's free Azure management applied skill is a lab on everyday tasks, Cloud+ weights operations and troubleshooting as separate domains, and AZ-400 carries monitoring into the DevOps feedback loop. Readers who build as well as run should continue with infrastructure as code; security monitoring, related but distinct, belongs to security operations.